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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 8233 | yes | The Hong Kong Polytechnic University, Hong Kong |
The Syllabus
- 0.1 Welcome to AFDA101x
- 0.2 Introduce Yourself
- 0.3 Navigating edX
- 0.4 Pre-course Survey
- 0.5 Course Syllabus
- 0.6 Getting Help
- 1.0 Introduction
- 1.1 The Changing Landscape for Accounting and Finance
- 1.2 Adapting to the Changing World of Data Availability
- 1.3 The QDAR Model
- 1.4 Discussion
- 2.0 Introduction
- 2.1 Definition of Data Analytics in Accounting and Finance
- 2.2 Sources of Accounting and Finance Data
- 2.3 Accounting and Finance Data Types
- 2.4 Data Dictionary and Data Catalogs
- 2.5 Relational Databases and their Benefits
- 2.6 Extract, Transform and Load
- 2.7 Discussion
- 2.9 Labs
- 3.0 Introduction
- 3.1 Types of Data Analytics
- 3.2 Descriptive Analytics
- 3.3 Tools and Techniques used in Descriptive Analytics
- 3.4 Examples of Descriptive Analytics
- 3.5 Using Horizontal, Vertical and Dupont Analyses
- 3.6 Discussion
- 3.8 Labs
- 4.0 Introduction
- 4.1 Diagnostics Analytics
- 4.2 Identifying Anomalies and Outliers
- 4.3 Methods used in Diagnostic Analytics
- 4.4 Finding Previously Unknown Linkages, Patterns, Or Relationships Between And Among Variables
- 4.5 Discussion
- 4.7 Labs
- 5.0 Introduction
- 5.1 Basics of Data Visualization
- 5.2 Visualizing Descriptive Statistics and Analytics
- 5.3 Visualizing Diagnostic Statistics and Analytics
- 5.4 Discussion
- 5.6 Labs
- 5.7 Congratulations
- 5.8 Post-course Survey
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